AR Model-Based Direction-of-Arrival Estimation of Coherent Signals in the Presence of Unknown Mutual Coupling | Zendy

Zhichao Sha | Zendy; Zhangmeng Liu | Zendy; Zhitao Huang | Zendy; Yiyu Zhou | Zendy

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AR Model-Based Direction-of-Arrival Estimation of Coherent Signals in the Presence of Unknown Mutual Coupling

Author(s) -

Zhichao Sha,

Zhangmeng Liu,

Zhitao Huang,

Yiyu Zhou

Publication year - 2013

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2013/386367

Subject(s) - coupling (piping) , direction of arrival , mixing (physics) , matrix (chemical analysis) , signal (programming language) , algorithm , calibration , autoregressive model , computer science , mathematics , statistics , physics , engineering , telecommunications , mechanical engineering , materials science , quantum mechanics , antenna (radio) , composite material , programming language

This paper addresses the problem of direction-of-arrival (DOA) estimation of coherent signals in the presence of unknown mutual coupling, and an autoregression (AR) model-based method is proposed. The effects of mutual coupling can be eliminated by the inherent mechanism of the proposed algorithm, so the DOAs can be accurately estimated without any calibration sources. After the mixing matrix is estimated by independent component analysis (ICA), several parameter equations are established upon the mixing matrix. Finally, all DOAs of coherent signals are estimated by solving these equations. Compared with traditional methods, the proposed method has higher angle resolution and estimation accuracy. Simulation results demonstrate the effectiveness of the algorithm

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